Watch a conference talk from Data Con LA 2023 exploring how neighborhood-level socioeconomic data can predict individual experiences in healthcare settings. Discover how machine learning models were used to analyze approximately 10,000 hospital patients' self-reported social risk data alongside publicly available neighborhood deprivation and vulnerability indices at the census block group level. Learn about the effectiveness and limitations of using neighborhood data as a proxy for individual socioeconomic experiences, with findings showing low-to-moderate model performance (AUC